As AI systems move from proof of concept to production, observability becomes essential—not just for performance, but for trust, compliance, and continuous improvement. This session demystifies observability in the context of Azure AI Foundry, giving you the practical tools to monitor, trace, and govern complex AI workloads across training, fine-tuning, deployment, and inference.

You’ll explore how to instrument your AI stack with Monitoring, model leaderboards, tracing, AI Red Team Agent, governance and optimization techniques to maintain visibility and control. This is your blueprint for making the AI lifecycle transparent, auditable, and resilient—from the inside out.